Objectives: The aim was to synthesize evidence on the use of person-centered outcome measures to facilitate integrated palliative care for older people and build a logic model depicting the mechanisms through which person-centered outcome measures support integrated care. Design: Mixed methods systematic review using a data-based convergent synthesis design. Setting and participants: Older people aged ≥60 years who are approaching the end of their lives in multiple settings. Methods: The study was underpinned by a conceptual framework of integrated palliative care, which informed the search strategy, data extraction, analysis, and synthesis. A hybrid search strategy was implemented, with database searches (PsycINFO, MEDLINE, CINAHL, and ASSIA) complemented by snowball searches. Qualitative and quantitative data were analyzed by narrative synthesis to summarize and explain the findings. The findings informed a logic model depicting the mechanisms of using person-centered outcome measures to support integrated palliative care. Results: Twenty-six studies were included. Three mixed methods studies, 2 qualitative studies, and 21 quantitative studies were included. There was evidence that person-centered outcome measures could support integrated palliative care through informing palliative care policy development (n = 4), facilitating joint working across settings (n = 5), enabling close collaboration of multidisciplinary teams (n = 14), promoting joint education (n = 1), facilitating timing and specialist referral (n = 6), and enhancing patient-centered care (n = 3). Conclusions and implications: This review makes an important, novel, and theoretically informed contribution to the delivery of scalable and sustainable integrated palliative care into the care of older people using person-centered outcome measures. The constructed logic model provides a conceptual framework and practical approach to how person-centered outcome measures support multilevel integration. A future area of research is the development of person-centered outcome measure interventions informed by the logic model to meet clinical needs.

The ageing of the population has resulted in an increase in the demand for long-term care services for older people, but with limited resources, its challenges have also been highlighted. Although factors affecting the willingness of older people to engage with long-term care services have been widely reported, however, systematic review has not synthesised the evidence, and its associated factors remain unclear. This systematic review aims to study and synthesise the best available evidence on the potential factors related to the willingness of older people to engage with long-term care services. Eight electronic databases were comprehensively searched from inception to January 2021: the Cochrane Library, PubMed, Web of Science, CINAHL, Wanfang Database, China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Chinese Biomedical Literature Database (CBM). The original literatures were screened according to selection criteria. Two researchers used 11-item checklist recommended by the Agency for Healthcare Research and Quality to evaluate the quality of the included literatures. And the review used narrative synthesis to integrate factors related to the willingness of older people to engage with long-term care services. In total, 7794 studies were screened and 35 studies were included in this review. Among them, 23 studies were rated as moderate quality and 12 was high quality. Data synthesis identified that age, education, number of children, living arrangements, the relationship with children, primary caregivers, place of residence, social support, household income, medical insurance, activities of daily living ability and spiritual comfort should all be taken into account when establishing the appropriate long-term care service model or formulating relevant policies. However, many factors remain undetermined and require more rigorous original literature support. And multiple areas can be also considered in the future studies, especially psychological factors.